能量特征提取和电压下降的可视化,使用波束数据包分析进行增强的电源质量监测
M S Priyadarshini1, Mohit Bajaj2,3,4, Ievgen Zaitsev5,6
1Department of Electrical and Electronics Engineering, K.S.R.M College of Engineering (Autonomous), Kadapa, 516005, India. priyadarshini@ksrmce.ac.in.
Scientific reports
|January 17, 2025
概括
本研究介绍了带有能源特征的波形包分析,以改善电源质量监测. 该方法准确地检测和分类电压下降,提高电气系统的可靠性和降低成本.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
背景情况:
- 电力质量 (PQ) 干扰,如电压下降,对电气设备和系统运行构成风险.
- 准确检测和分类PQ干扰对于保持可靠的电力系统至关重要.
研究的目的:
- 引入一种新的方法,用于使用波形包分析和基于能量的特征提取进行电压下降分析.
- 通过提高电压下降检测的精度和效率来提高功率质量监测.
主要方法:
- 电压下降信号使用波形包分析进行了分解.
- 基于能量的特征从波形包系数中提取出来,用于干扰识别.
- 对比了六个常见的母波段,以确定最适合电压下降检测的母波段.
主要成果:
- 波形数据包分析显著改善了电压下降干扰的检测和分类.
- 能量分布曲线分析确定了用于PQ监测的有效信号特征.
- 提出的方法通过错误分析证明了可靠性和准确性.
结论:
- 波形数据包分析为实时PQ监控提供了强大而高效的工具.
- 这种方法提供了一个更精确,更高效的计算方法,用于电压下降分析.
- 该研究有助于先进的PQ监控系统,保护电气系统并降低运营成本.
关键词:
能量分布曲线的能量分布曲线.错误分析 错误分析母波波段选择选择 母波波段选择电源质量干扰检测检测 电源质量干扰检测信号分解信号的分解信号处理 信号处理电压压差分析分析波段数据包分析 波段数据包分析更多相关视频
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